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Sustainable energy resources in smart cities

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sustainable energy resources in smart cities edited by Ali Ahmadian ... [et al.].
other author:	Ahmadian, Ali.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xi, 224 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Renewable energy sources.
Online resource:	https://doi.org/10.1007/978-3-031-91516-1
ISBN:	9783031915161$q(electronic bk.)

Sustainable energy resources in smart cities
Sustainable energy resources in smart cities [electronic resource] /edited by Ali Ahmadian ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 224 p. :ill., digital ;24 cm. - Green energy and technology,1865-3537. - Green energy and technology..

Ch 1: An Overview of Sustainable Energy Resources in Smart Cities -- Ch 2: A review of geothermal energy resources, development, and applications in Jordan: Current status and prospects -- Ch 3: Advancing Energy Efficiency in Smart Cities: The Smart Readiness Indicator (SRI) Framework for Sustainable Building Performance -- Ch 4: Optimal Operation of Integrated Electricity and Natural Gas Distribution Networks in Smart Cities -- Ch 5: Multi-Energy Networked Microgrid Scheduling in Smart Cities Under Transactive Energy Concept -- Ch 6: A Cost-Emission Trade-offs in Hybrid Energy Systems Using a Multi-Objective Approach with Demand Response Integration -- Ch 7: Microgrids and Nanogrids Implementation in Smart Cities -- Ch 8: Smart homes and buildings implementation in smart cities.

This book offers an extensive examination of the operational and strategic considerations for sustainable energy within the context of smart cities, incorporating cutting-edge advancements in technology, protocols, implementation strategies, and the utilization of energy resources. It examines recent sustainability strategies formulated by various nations emphasizing worldwide application, accompanied by a thorough analysis of economic, technical, and environmental dimensions. The authors present a comprehensive exploration of energy provisioning and administration, underscoring the deployment of data analysis methodologies and tools, such as machine learning and deep learning-based approaches for practical energy management studies. Additionally, it showcases the application of mathematical programming in modeling real-world case studies, leveraging optimization techniques that have broad-reaching global relevance. Presents the latest developments in the application of sustainable energy resources in smart cities; Showcases machine learning and deep learning-based approaches for practical energy management; Includes international case studies.

ISBN: 9783031915161$q(electronic bk.)

Standard No.: 10.1007/978-3-031-91516-1doiSubjects--Topical Terms:

190766
Renewable energy sources.

LC Class. No.: TJ808

Dewey Class. No.: 333.794091732

Sustainable energy resources in smart cities
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505 0 $a Ch 1: An Overview of Sustainable Energy Resources in Smart Cities -- Ch 2: A review of geothermal energy resources, development, and applications in Jordan: Current status and prospects -- Ch 3: Advancing Energy Efficiency in Smart Cities: The Smart Readiness Indicator (SRI) Framework for Sustainable Building Performance -- Ch 4: Optimal Operation of Integrated Electricity and Natural Gas Distribution Networks in Smart Cities -- Ch 5: Multi-Energy Networked Microgrid Scheduling in Smart Cities Under Transactive Energy Concept -- Ch 6: A Cost-Emission Trade-offs in Hybrid Energy Systems Using a Multi-Objective Approach with Demand Response Integration -- Ch 7: Microgrids and Nanogrids Implementation in Smart Cities -- Ch 8: Smart homes and buildings implementation in smart cities.
520 $a This book offers an extensive examination of the operational and strategic considerations for sustainable energy within the context of smart cities, incorporating cutting-edge advancements in technology, protocols, implementation strategies, and the utilization of energy resources. It examines recent sustainability strategies formulated by various nations emphasizing worldwide application, accompanied by a thorough analysis of economic, technical, and environmental dimensions. The authors present a comprehensive exploration of energy provisioning and administration, underscoring the deployment of data analysis methodologies and tools, such as machine learning and deep learning-based approaches for practical energy management studies. Additionally, it showcases the application of mathematical programming in modeling real-world case studies, leveraging optimization techniques that have broad-reaching global relevance. Presents the latest developments in the application of sustainable energy resources in smart cities; Showcases machine learning and deep learning-based approaches for practical energy management; Includes international case studies.
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